An Fusion of Whale and Sine Cosine Algorithms for solving optimization Functions

2020 ◽  
Author(s):  
Gurjeet Singh Walia ◽  
Narinder Singh ◽  
Sharandeep Singh
Keyword(s):  
Computer Science ◽  
Hybrid Approach ◽  
Real Life ◽  
Optimal Solutions ◽  
Science And Engineering ◽  
Exploration Process ◽  
Life Problems ◽  
Medical Computer ◽  
Statistical Solutions

We developed a novel hybrid approach for solving global optimization, computer science, bio-medical and engineering real life applications that is based on the coupling of the Whale Optimizer and Sine Cosine Algorithms via a surrogate model. We relate the whale optimizer algorithm to balance between the exploitation and the exploration process in the proposed method. There exist confirmed techniques for searching approximate best optimal solutions, but our algorithm will further guarantee that such numerical and statistical solutions satisfy physical bounds of the standard and real life functions. Our experiments with the benchmark, bio-medical, computer science and engineering real life problems have illustrated the advantages of using a newly hybrid approach based on mixing Whale Optimizer and Sine Cosine algorithms. It holds considerable potential for reducing execution time for solving standard and real life problems and at the same time improving the quality of the solution.

scholarly journals ACO with Intuitionistic Fuzzy Pheromone Updating Applied on Multiple-Constraint Knapsack Problem

Mathematics ◽  
2021 ◽  
Vol 9 (13) ◽  
pp. 1456
Author(s):  
Stefka Fidanova ◽  
Krassimir Todorov Atanassov
Keyword(s):  
Decision Making ◽  
Knapsack Problem ◽  
Propositional Logic ◽  
Optimization Problems ◽  
Real Life ◽  
Combinatorial Optimization Problems ◽  
Intuitionistic Fuzzy ◽  
Life Problems ◽  
Multiple Constraint

Some of industrial and real life problems are difficult to be solved by traditional methods, because they need exponential number of calculations. As an example, we can mention decision-making problems. They can be defined as optimization problems. Ant Colony Optimization (ACO) is between the best methods, that solves combinatorial optimization problems. The method mimics behavior of the ants in the nature, when they look for a food. One of the algorithm parameters is called pheromone, and it is updated every iteration according quality of the achieved solutions. The intuitionistic fuzzy (propositional) logic was introduced as an extension of Zadeh’s fuzzy logic. In it, each proposition is estimated by two values: degree of validity and degree of non-validity. In this paper, we propose two variants of intuitionistic fuzzy pheromone updating. We apply our ideas on Multiple-Constraint Knapsack Problem (MKP) and compare achieved results with traditional ACO.

Allocating nodes to hubs for minimizing the hubs processing resources: A case study

2019 ◽  
Vol 53 (3) ◽  
pp. 807-827
Author(s):  
Ali Balma ◽  
Mehdi Mrad
Keyword(s):  
Telecommunication Network ◽  
Real Life ◽  
Optimal Solutions ◽  
Total Flow ◽  
Nonlinear Formulation ◽  
Large Size ◽  
Processing Resources ◽  
Reformulation Linearization

This paper addresses the problem of allocating the terminal nodes to the hub nodes in a telecommunication network. Since the flow processing induces some undesirable delay, the objective is to minimize the total flow processed by the hubs. This study focuses on a real life network of the tunisian operator Tunisie Telecom whose operations managers are concerned by the quality of service. We provide three compact formulations that give optimal solutions for networks of large size. In particular, the last two are obtained by applying the Reformulation-Linearization Technique to a nonlinear formulation of the problem. The latter formulation derived within this approach is the most computationally effective, as pointed out by the computational experiments conducted on the real life network of Tunisie Telecom with 110 nodes and 5 hubs. Finally, we discuss and compare between the single allocation and double allocation configurations.

Solving Multi-Objective Multicast Routing Problem Using a New Hybrid Approach

2018 ◽  
Vol 9 (4) ◽  
pp. 22-36
Author(s):  
Mohammed Mahseur ◽  
Abdelmadjid Boukra ◽  
Yassine Meraihi
Keyword(s):  
Multicast Routing ◽  
Hybrid Approach ◽  
Bat Algorithm ◽  
Pareto Optimal Solutions ◽  
Optimal Solutions ◽  
Routing Problem ◽  
Multi Objective ◽  
Strength Pareto Evolutionary Algorithm ◽  
Quality Of Service Parameters

Multicast routing is the problem of finding the spanning tree of a set of destinations whose roots are the source node and its leaves are the set of destination nodes by optimizing a set of quality of service parameters and satisfying a set of transmission constraints. This article proposes a new hybrid multicast algorithm called Hybrid Multi-objective Multicast Algorithm (HMMA) based on the Strength Pareto Evolutionary Algorithm (SPEA) to evaluate and classify the population in dominated solutions and non-dominated solutions. Dominated solutions are evolved by the Bat Algorithm, and non-dominated solutions are evolved by the Firefly Algorithm. Old and weak solutions are replaced by new random solutions by a process of mutation. The simulation results demonstrate that the proposed algorithm is able to find good Pareto optimal solutions compared to other algorithms.

scholarly journals Hybrid Neural-global Minimization Method of Logical Rule Extraction

1999 ◽  
Vol 3 (5) ◽  
pp. 348-356 ◽  
Author(s):  
Wlodzislaw Duch ◽  
◽  
Rafal Adamczak ◽  
KrzysAof Grabczewski ◽  
Grzegorz Zal
Keyword(s):  
Neural Networks ◽  
Hybrid Approach ◽  
Real Life ◽  
Rule Extraction ◽  
Global Minimization ◽  
Minimization Method ◽  
Life Problems ◽  
Multilayered Perceptron ◽  
Logical Functions ◽  
Logical Rules

Methodology of extraction of optimal sets of logical rules using neural networks and global minimization procedures has been developed. Initial rules are extracted using density estimation neural networks with rectangular functions or multilayered perceptron (MLP) networks trained with constrained backpropagation algorithm, transforming MLPs into simpler networks performing logical functions. A constructive algorithm called CMLP2LN is proposed, in which rules of increasing specificity are generated consecutively by adding more nodes to the network. Neural rule extraction is followed by optimization of rules using global minimization techniques. Estimation of confidence of various sets of rules is discussed. The hybrid approach to rule extraction has been applied to a number of benchmark and real life problems with very good results.

scholarly journals A Comparative Study on Meta-Heuristic Algorithms For Solving the RNP Problem

2019 ◽  
pp. 1639-1648
Author(s):  
Abeer Sufyan Khalil ◽  
Rawaa Dawoud Al-Dabbagh
Keyword(s):  
Heuristic Algorithms ◽  
Real Life ◽  
Research Area ◽  
Optimization Techniques ◽  
Radio Network ◽  
Life Problems ◽  
Adaptive Differential Evolution ◽  
Low Efficiency ◽  
The Many

The continuous increases in the size of current telecommunication infrastructures have led to the many challenges that existing algorithms face in underlying optimization. The unrealistic assumptions and low efficiency of the traditional algorithms make them unable to solve large real-life problems at reasonable times.The use of approximate optimization techniques, such as adaptive metaheuristic algorithms, has become more prevalent in a diverse research area. In this paper, we proposed the use of a self-adaptive differential evolution (jDE) algorithm to solve the radio network planning (RNP) problem in the context of the upcoming generation 5G. The experimental results prove the jDE with best vector mutation surpassed the other metaheuristic variants, such as DE/rand/1 and classical GA, in term of deployment cost, coverage rate and quality of service (QoS).

scholarly journals Field Studies of Ecology Impacts: The role and Its Contribution to Quality of Education Model Developed Based on Research Paradigm

EDUSAINS ◽  
2019 ◽  
Vol 11 (1) ◽  
pp. 70-77
Author(s):  
Kristiyanto Kristiyanto
Keyword(s):  
Field Study ◽  
Real Life ◽  
Field Studies ◽  
Quality Of Education ◽  
Current Field ◽  
Study Approach ◽  
Life Problems ◽  
Learning Success ◽  
Education Model

STUDI LAPANGAN DAMPAK EKOLOGI: PERAN DAN KONTRIBUSINYA TERHADAP PENGEMBANGAN KUALITAS MODEL PENDIDIKAN BERDASARKAN PARADIGMA PENELITIAN AbstrakMengembangkan model pendidikan yang baik dan dinamis dalam prosesnya, seharusnya dapat meningkatkan kualitas induvidu maupun kelompok mahasiswa atau peserta didik di perguruan tinggi (PT), agar dapat menyesuaikan diri terhadap dinamika perubahan zaman, sehingga studi lapang salah satu langkah yang perlu mendapat perhatian, dimana secara tidak langsung kegiatan ini mampu meningkatkan kualitas (SDM) dalam rangka menghadapi permasalahan dimasa mendatang yang semakin kompleks, disamping sebagai modal utama dalam mempersiapkan SDM yang berkualitas, baik sebagai pendidik (guru) maupun seorang peneliti yang professional dan kompeten dalam bidangnya. Tujuan dari kegiatan studi lapang tersebut, masih dihadapkan dengan minimnya SDM, sehingga tidak mudah untuk mengimplementasikannya secara dinamis dan berkelanjutan, sehingga tujuan dari penelitian ini, akan mengeksplore atau mengkaji lebih detail tentang peran dan kontribusi studi lapang di kalangan PT, yang tentunya membutuhkan proses pembelajaran yang lebih baik, dalam membentuk kualitas SDM yang berkualitas. Metode yang digunakan dalam penelitian ini, lebih melihat pada dinamika persepsi dan interpretasi mahasiswa, yang berkaitan dengan pengalamannya selama di lapang, dan sejauh mana keberhasilan yang diperoleh atau dicapainya, setelah melakukan studi lapang yang berupa produk ilmiah, seperti naskah ilmiah, baik berupa bentuk laporan penelitian maupun jurnal, kemudian proses diskusi panel di dalam kelas. Hasil penelitian menunjukkan bahwa metode studi lapang salah satu kegiatan yang tidak mudah dilakukan, ketika menyusun sebuah laporan yang ilmiah, hal ini dapat dilihat dari aspek lemahnya argumentasi ilmiah yang dibangun, sehingga permasalahan ini, menjadi memberi gambarkan kepada semua pihak, bahwa model pendidikan ini perlu di ubah, dengan memodifikasi sebuah kurikulum yang lebih dinamis, dan tentunya juga disesuaikan dengan perkembangan zaman. AbstractDeveloping quality of education model in learning process was ought to increase skills of both individual and group of students in order to pave their readiness for today’s competitive era. Field study is an approach in learning that may develop to increase the quality of student, particularly in confronting with real life problems. This research was aimed to study the role and contribution of the field study to increase the quality of students. Using students’ perception and interpretations on the study field learning approach, this study tried to answers queries on the extent of study field approach for their learning success. Results revealed that the current field study approach was one of difficult approaches to be implemented in learning. During report development, for example, it was found that there are writing skills that need to be developed. It is suggested from this study, therefore, that field study approach needs to be more dynamic and its curriculum needs to be adjusted with the current development.

scholarly journals Pelatihan Rich Task Pada Mgmp Matematika SMP Lombok Barat

2020 ◽  
Vol 2 (1) ◽  
Author(s):  
Ita Chairun Nissa ◽  
I Ketut Sukarma ◽  
Sanapiah Sanapiah ◽  
Ade Kurniawan ◽  
Sabrun Sabrun
Keyword(s):  
Mathematical Knowledge ◽  
Positive Response ◽  
Real Life ◽  
Teaching Mathematics ◽  
Training Methods ◽  
Training Material ◽  
Community Needs ◽  
Quality Of Teaching ◽  
Life Problems

The West Lombok Mathematics’ Teacher Community needs to be improved because of the government's demands on the quality of teaching mathematics in schools. Having good mathematical knowledge and being able to solve real-life problems is an important key for teachers to be able to develop innovative mathematics teaching. But in fact, teacher training that emphasizes aspects of mathematical content is still not widely implemented. This is an important reason for this training. The training is carried out in one day through video screening and rich task modeling. The assessment of this training is measured using a closed questionnaire that asks the teacher's attitude towards statements related to the training material, training methods, the ability of the speakers, and the motivation of the trainees. The training that was carried out succeeded in getting a positive response that most of the teachers gave a very agreeing attitude. The teachers also feel motivated and have good expectations for applying the knowledge and skills gained from training into teaching mathematics in the classroom

MarineTech Project—Attracting Students towards Math and Science Careers in Shipbuilding and Repair Industry

2010 ◽  
Vol 26 (01) ◽  
pp. 29-35
Author(s):  
Alok K. Verma ◽  
Ray Ferrari ◽  
Manorama Talaiver ◽  
Sueanne E. McKinney ◽  
Daniel Dickerson ◽  
...  
Keyword(s):  
Large Scale ◽  
Learning Experience ◽  
Science Instruction ◽  
Real Life ◽  
Integrated Approach ◽  
Project Based Learning ◽  
Pedagogical Issues ◽  
Life Problems ◽  
Math And Science

Low enrollment and high attrition rates in science, technology, engineering, and math (STEM) based degree programs have created a shortage of workforce in industries such as shipbuilding and repair that are important for national security. Part of this problem can be attributed to pedagogical issues such as lack of engaging hands-on activities used for math and science instruction in middle and high schools. Another reason for this is that the teachers are not trained in taking an integrated approach to teaching math and science. This has led to large-scale flight and attrition from STEM-based career tracks. Consequently, engineering and engineering technology programs throughout the nation have observed declining graduation rates and quality of incoming students. To engage students' interest in STEM-based careers, it is important that students establish a link between the math and science instruction and its application to solve real-life problems early in their learning experience. Project-based activities have a proven record as a pedagogical method. Effectiveness of this pedagogy has been supported by research in the acquisition and retention of knowledge. The MarineTech Project funded by the State Council of Higher Education of Virginia and supported by the shipbuilding and repair industry has attempted to address the quality of STEM education in Virginia by developing project-based learning kits and providing professional development training in the use of these kits. The project also provided teacher training in 21st century skills and integrated math and science education while increasing awareness of teachers about the shipbuilding and repair industry. The paper presents the motivation behind developing these project-based learning (PBL) modules, issues related to implementation, and results from student and teacher workshops.

scholarly journals Improving graduate outcomes

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Ugochukwu Chinonso Okolie ◽  
Elisha Nwonu Elom ◽  
Paul Agu Igwe ◽  
Michael Olayinka Binuomote ◽  
Chinyere Augusta Nwajiuba ◽  
...  
Keyword(s):  
Teaching And Learning ◽  
Real Life ◽  
Theory And Practice ◽  
Semistructured Interview ◽  
Content Type ◽  
Postgraduate Students ◽  
Effective Implementation ◽  
Life Problems ◽  
Starting Point

PurposeThis study explores how the implementation of problem-based learning (PBL) in technical and vocational education training (TVET) systems of Nigerian higher education (HE) can enhance quality graduate outcomes. The study also explores the issues and challenges of PBL implementation in the TVET system of Nigerian HE.Design/methodology/approachThis study follows the assumptions of qualitative research. The authors interviewed 55 participants and had a focus group with 7 TVET postgraduate students. The 55 interviewees were drawn from TVET teachers (n = 33; 24 males and 9 females), Directors at National Board for Technical Education (n = 4; 3 males and 1 female), Directors of National Directorate of Employment (n = 5; 3 males and 2 females), Directors at the Federal Ministry of Education (n = 3 males), and industry executives (n = 10; 7 males and 3 females). Data were collected through a semistructured interview approach, transcribed and coded using NVivo 12 plus and analyzed through thematic analysis.FindingsThe results show that PBL in the Nigerian TVET system has positive implications for quality TVET graduate outcomes in that it can enable integrating theory and practice, motivate learning, improve students' self-efficacy, allow students to construct learning on their own, enhance graduate competencies and graduate employability. It also revealed six perceived possible major challenges to effective implementation of PBL in the Nigerian TVET system, which includes inadequacy of teaching and learning facilities; corruption in Nigerian education sector; recruitment of unqualified incompetent TVET teachers; difficulties in identifying real-life problems, among others. Participants offered benchmarks and actions and standards for improving the identified challenges, which formed a framework for coping with issues, challenges, and barriers to effective implementation of PBL in the TVET system of Nigerian HE (Table 1).Originality/valueThe results of this study are original and serve as an advocacy for Nigerian HE authorities to explore how PBL can be implemented in the TVET system to improve graduate outcomes. The study serves as a starting point for more research in the domain of improving the quality of TVET programs in Nigerian HE. Industry leaders and policymakers in Nigeria and other developing countries could use the findings from this study to increase HE and industry participation and partnership for quality of TVET program.

scholarly journals Mathematical Modeling for Routes and Cost of Local Transports in Pune City

2020 ◽  
Vol 9 (8) ◽  
pp. 25-28
Keyword(s):  
Transportation Problem ◽  
Real Life ◽  
Transportation Cost ◽  
Transportation Model ◽  
Air Suspension ◽  
Life Problems ◽  
Wide Range ◽  
Trip Distance ◽  
Research Domains

Transportation problem is considered a vitally important aspect that has been studied in a wide range of operations including research domains. As such, it has been used in simulation of several real life problems. The transportation model is for the optimization of routes, cost and travelling of peoples with the help of public transport buses from the source to the destination by road. The data is collected which includes number of trips per day, cost of trips per trip ,distance between source and destination etc. manually through the questionery interview with the conductors drivers and the regular travelling peoples travelling on that route as well as data collection from PMPML office and calculation for minimizing the transportation cost have been done. The result of the research with proper scheduling, proper routing of buses can save Rs. 48865.875 in a 1 day. The saving of the transportation cost increases the profit of the PMPML. The total saving amount profit percentage is about 18.15% increase from saving transportation cost. The parameters as discussed above are considered and collected manually with the help of survey sheet and transportation model is prepared and after that calculation for minimizing the transportation cost have been done. The methods used for minimization of transportation of cost are Northwest corner method, Least count method etc. The result of the research gives with proper scheduling, routing of buses can save generate so much of revenue with saving of cost.. The amount saved from the transportation cost is utilized for increase the facilities in bus such as A.C, Automatic door system, Air suspension, Good quality of seats etc.

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